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ROB_016predictionLabor/JobsBlock-intelligence-native-reset

Block executed massive layoffs explicitly reframing the company as a 'smaller, faster, intelligence-native company' — future corporate dominance will not be determined by human headcount but by the density of elite AI researchers managing vast fleets o...

Predictor: Jack Dorsey

Prior probability
92.0%
Current probability
80.9%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
hit
Window
2025-01-01 – 2028-12-31
Edges in / out
4 / 0
Tickers exposed
4

Prediction text

Block executed massive layoffs explicitly reframing the company as a 'smaller, faster, intelligence-native company' — future corporate dominance will not be determined by human headcount but by the density of elite AI researchers managing vast fleets of autonomous agents. | Next Fortune 500 "intelligence-native" org-restructuring announcement

Key catalyst: Next Fortune 500 "intelligence-native" org-restructuring announcement

Watch events: Block quarterly headcount metrics; Fortune 500 intelligence-native reorganization cadence

Resolution evidence

Status: hit

Block 2025 layoffs documented; Dorsey internal memos reframing strategy. Paralleled by Klarna, Salesforce, Microsoft similar reorgs.

Predictor: Jack Dorsey

κ + Brier as of 2026-05-22
κ (discount)
0.722
Brier
0.0109
excellent
Hits / Misses
3 / 0
of 4 resolved
Hit rate
75.0%
Calibration plot (stated vs observed)

Evidence about this node from Jack Dorsey is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class: agi_breakthrough_5y

Linked via embedding similarity 0.593

Major capability discontinuity (e.g. AGI by named target year, 5-year horizon)

Base rate
20.0%
1/5 historical
Inside weight
Outside weight
no pull
inside 80.9% → blend 80.9% 0.0pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

7 prob_history rows
0%25%50%75%100%prior 92%2026-04-292026-04-302026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 80.9%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 3 overdue ⏱
  1. 2025-05-01overdueQ1 window check-in (25%)
  2. 2025-08-30overdueQ2 window check-in (50%)
  3. 2025-12-29overdueQ3 window check-in (75%)

No downstream cascades — this prediction is a leaf in the dependency graph.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 81%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-10T02:00:02Z80.9%+1.9pp
Network propagation: 79.1% → 80.9%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z79.1%+4.1pp
Network propagation: 74.9% → 79.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z74.9%+9.2pp
Network propagation: 65.7% → 74.9%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
legacy v12026-04-30T16:13:50Z65.7%-9.2pp
reference_class_assigned bayesian_v2 inside=0.920 blend=0.657 w_in=0.53 agi_breakthrough_5y
LBP2026-04-30T02:18:57Z74.9%+9.2pp
Network propagation: 65.7% → 74.9%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef
legacy v12026-04-30T01:56:50Z65.7%-26.3pp
reference_class_assigned bayesian_v2 inside=0.920 blend=0.657 w_in=0.53 agi_breakthrough_5y
resolution_terminal2026-04-29T22:23:18Z100.0%+25.1pp
resolution_terminal hit outcome=1.0 pre_resolution=0.749
Raw metadata
{
  "source": "backfill_resolution_history.py",
  "status": "hit",
  "bayesian_v2": false,
  "outcome_prob": 1,
  "evidence_kind": "resolution_terminal",
  "posterior_prob": 1,
  "delta_to_outcome": 0.25051,
  "inside_posterior": 0.74949,
  "validation_notes": "Block 2025 layoffs documented; Dorsey internal memos reframing strategy. Paralleled by Klarna, Salesforce, Microsoft similar reorgs.",
  "validation_status": "hit",
  "pre_resolution_prob": 0.74949,
  "resolution_evidence": "Block 2025 layoffs documented; Dorsey internal memos reframing strategy. Paralleled by Klarna, Salesforce, Microsoft similar reorgs.",
  "does_not_update_current_prob": true
}

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.920+0.041
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.920+0.024
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.920+0.024
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.920-0.020

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

4 ticker(s) linked

Adverse (4)

ALLPGRTRVUBER

Prerequisites (4)

Predictions that must hit first
TypePredTitleDomainLag
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)
killerTK11Autonomous Regulatory Block (Level 4 Halt)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2028-12-31[Labor/Policy 2028-12] erified; Humanity's Last Exam; Neuralin [ROB_016] Block quarterly headcount metrics; Fortune 500 intelligence-native reorganization cadence [ROB_015] Employment-dislocation metrics vs historical transitions (1870s/1920s/1990s)pending

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29hitthesis_timeline_v1.0_importBlock 2025 layoffs documented; Dorsey internal memos reframing strategy. Paralleled by Klarna, Salesforce, Microsoft similar reorgs.

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.538edgar_8kManpowerGroup Inc. (MAN) (CIK 0000871763)mentionspending2026-05-08

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "OBSERVATION+FORECAST",
  "role": "Cited-CEO",
  "context": "Sharper 2025-2026 Block reset framing distinct from 248_008 (Block org depth 5→2-3 layers). Couples with AI_011 (Schmidt programmers replaced), CYB_001 (Huang 100:1 ratio), ROB_018.",
  "to_year": 2028,
  "conv_cues": "operational observation; CEO-framed reorganization",
  "direction": "HAPPEN",
  "from_year": 2025,
  "timeframe": "2025-2028",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2025-05-01",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2025-08-30",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2025-12-29",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "event",
      "label": "Block executed massive layoffs explicitly reframing the company as a 'smaller, faster, intelligence-native company' — future corporate domin",
      "status": "hit",
      "weight": 1,
      "ordinal": 0,
      "source_id": "ROB_016",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    }
  ],
  "repeat_eps": 1,
  "sub_domain": "Jobs",
  "affiliation": "Block",
  "attribution": "FIRST_PERSON",
  "granularity": "YEAR_RANGE",
  "resolved_at": "2026-04-29T22:23:18.290696+00:00",
  "source_refs": "47",
  "target_date": "2026-12-15T00:00:00",
  "display_date": "2026-04-29",
  "episode_date": "2026-04-22T00:00:00",
  "key_catalyst": "Next Fortune 500 \"intelligence-native\" org-restructuring announcement",
  "parse_method": "YEAR_RANGE midpoint",
  "domain_bucket": "Labor",
  "episode_title": "The Embodied AI and Automation Horizon: Comprehensive Analysis of Expert Forecasts (2023-2026)",
  "fault_line_id": "F006",
  "flag_repeated": false,
  "in_5yr_window": true,
  "source_report": "Robotics Predictions Search Strategy.md (2026-04-22)",
  "appears_in_eps": "ROB-RPT",
  "futurist_phase": "Phase 1 (2026)",
  "is_macro_claim": false,
  "total_mentions": 1,
  "priority_weight": 4,
  "report_evidence": "Anchor section: Agentic Era / Corporate Reorganization.",
  "active_end_month": "2028-12",
  "recent_statement": "Dorsey 2025-2026 Block strategy memos.",
  "watch_events_raw": "Block quarterly headcount metrics; Fortune 500 intelligence-native reorganization cadence",
  "months_from_today": 8,
  "probability_layer": "Higher (in-flight)",
  "active_start_month": "2025-01",
  "flag_nia_bracketed": false,
  "resolved_at_source": "validations_observed_at",
  "track_record_grade": "B",
  "track_record_notes": "Dorsey corporate-strategy framings reliable.",
  "contradicting_notes": "Layoff cycles are volatile; intelligence-native thesis is new business-org framing.",
  "flag_near_term_2027": false,
  "flag_high_conviction": false,
  "milestones_derived_at": "2026-05-02T03:08:51.137479+00:00",
  "reference_class_match": {
    "top_n": [
      {
        "id": "agi_breakthrough_5y",
        "cosine": 0.5926
      }
    ],
    "margin": 0.5926,
    "best_id": "agi_breakthrough_5y",
    "decision": "assigned",
    "second_id": null,
    "threshold": 0.55,
    "computed_at": "2026-04-30T01:49:13.796883+00:00",
    "best_similarity":